Digital Futures <> Google Cloud - Model Armor: Securing AI Deployments Training

​This course explains how to use Model Armor to protect AI applications, specifically large language models (LLMs). The curriculum covers Model Armor's architecture and its role in mitigating threats like malicious URLs, prompt injection, jailbreaking, sensitive data leaks, and improper output handling. Practical skills include defining floor settings, configuring templates, and enabling various detection types. You'll also explore sample audit logs to find details about flagged violations.

This is a hands-on technically focused course for those that want to learn how to secure their LLM applications.